Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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20,401 to 20,454 of 20,454

Post-training Quantization for Hybrid Iterative Generative Models
Jing Gao, Junyi Wu, Wei Wang +2
cs.LGarXiv:2608.13932v12026
MINT: A Universal Zero-Shot Predictor for Transaction Data
Parameswaran Kamalaruban, Viktor Drobnyi, Maeve Madigan +3
cs.LGcs.CLarXiv:2608.14198v12026
Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents
Zhizhao Guan, Chen Huang, Ziming Liu +5
cs.AIcs.LGarXiv:2608.14339v12026
Designing Compact Neural Architectures via Neuron Gating and Mixed Activation
Abhishek Shukla, Ankur Sinha, Faiz Hamid
cs.LGcs.AIarXiv:2608.14443v12026
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
cs.SEcs.LGarXiv:2608.14352v12026
Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques
Haibin Xiong, Shaoheng Dai, Peng Lan +4
cs.LGcs.DBarXiv:2608.13934v12026
On-Policy Delta Distillation
Byeongho Heo, Jaehui Hwang, Sangdoo Yun +1
cs.LGcs.CLarXiv:2607.15161v12026
Summaries:한국어
Weak-to-Strong Generalization via Direct On-Policy Distillation
Shiyuan Feng, Huan-ang Gao, Haohan Chi +7
cs.LGcs.AIcs.CLarXiv:2607.05394v22026
Summaries:한국어
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
Haoqi Yuan, Zhixuan Liang, Anzhe Chen +20
cs.ROcs.CVcs.LGarXiv:2606.17846v22026
Summaries:한국어
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar +5
cs.CLcs.LGarXiv:1706.03762v72017
Summaries:한국어 日本語简体中文 Español Français Deutsch
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten +1
cs.CVcs.LGarXiv:1608.06993v52016
Summaries:한국어
Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers
Thiago Sandoval, Ufuk Topcu
cs.AIcs.CLcs.CRarXiv:2608.14089v12026
CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing
Yuji Ren, Chenkai Xu, Zhuocheng Gong +2
cs.LGcs.AIcs.CLarXiv:2608.13925v12026
Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required
Egor Shibaev, Vera Kudrevskaia, Timur Galimzyanov +9
cs.LGcs.AIcs.SEarXiv:2608.13566v12026
When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version
Dat Nguyen-Cong, Luong Tran, Tung Kieu
cs.LGarXiv:2608.14067v12026
Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
Dayuan Zhao, Shengcao Cao, Yu-Xiong Wang +1
cs.CLcs.AIcs.LGarXiv:2608.13570v12026
Nanbeige4.2-3B on Apple Silicon: Fixing Deployment Bugs and Decreasing Looped Transformer Memory Overhead
John T. Halloran
cs.AIcs.LGarXiv:2608.13987v12026
Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation
Nikolai Röhrich, Isabell Hans, Felix Krause +1
cs.CVcs.AIcs.LGarXiv:2608.14172v12026
Overcoming Shortcut Learning in Graph Neural Networks through Active Explanation Guidance
Taraneh Younesian, Steve Azzolin, Antonio Longa +3
cs.LGcs.AIarXiv:2608.14121v12026
Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Data
Igor Cherepanov, David Sessler, Alex Ulmer +3
cs.HCcs.AIcs.LGarXiv:2608.13575v12026
When Does More Correct Data Hurt? Insertion-Stability and the Limits of Dimension-Based Theory
Joseph Sankoorikal Johny
cs.LGstat.MLarXiv:2608.14020v12026
Adversarial Learning of Classifier-Free Guidance Schedules
Ashwini Pokle, Alexandre Galashov, Arnaud Doucet +2
cs.LGarXiv:2608.14038v12026
Training Fair Tabular Foundation Models
Patrik Kenfack, Jesse C. Cresswell, Anthony L. Caterini +2
cs.LGcs.AIarXiv:2608.14211v12026
BCMT: Blockwise Causal Memory Transformer
Rachid Arezki
cs.CLcs.AIcs.LGarXiv:2608.13578v12026
Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning
Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu +7
cs.LGcs.AIcs.DCarXiv:2608.13914v12026
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
Mingyu Huang, Weiqing Min, Ying Jin +2
cs.HCcs.AIcs.LGarXiv:2608.13581v12026
Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification
Hengzhe Zhang, Qi Chen, Bing Xue +3
cs.LGcs.NEarXiv:2608.14209v12026
Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models
Jean de Dieu Nyandwi, Leena Mathur, Yonatan Bisk +2
cs.CLcs.AIcs.CVarXiv:2608.13760v12026
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
cs.LGcs.AIarXiv:2608.11951v12026
AI Evaluation Should Work With Humans
Jan Kulveit, Gavin Leech, Tomáš Gavenčiak +1
cs.AIcs.LGarXiv:2608.13577v12026
Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations
Gaute Johannessen, Geert Roelof van der Ploeg, Evrim Acar
cs.LGarXiv:2608.13234v12026
Improved Large Language Diffusion Models
Shen Nie, Qiyang Min, Shaoxuan Xu +7
cs.CLcs.AIcs.LGarXiv:2606.25331v12026
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models
Kaiwen Zheng, Guande He, Min Zhao +7
cs.CVcs.LGarXiv:2606.25473v12026
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le
cs.CLcs.LGarXiv:1409.3215v32014
Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration
Sabin Roman, Ljupco Todorovski, Saso Dzeroski
cs.LGarXiv:2608.13504v12026
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver +4
cs.LGarXiv:1312.5602v12013
Vidu S1: A Real-Time Interactive Video Generation Model
Jintao Zhang, Kai Jiang, Jintao Chen +24
cs.CVcs.LGarXiv:2607.03118v22026
KVAE: Family of Tokenizers for Multimodal Generative Models
Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov +11
cs.CVcs.LGcs.SDarXiv:2608.05798v12026
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su, Yu Lu, Shengfeng Pan +3
cs.CLcs.AIcs.LGarXiv:2104.09864v52021
Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations
Rui Wang, Hongru Wang, Yi Chen +4
cs.CLcs.LGarXiv:2607.13399v12026
On the global feature importance for interpretable and trustworthy heat demand forecasting
Milan Zdravković
cs.LGeess.SYarXiv:2608.13039v12026
Forecast Collapse in Time-Series Foundation Models
Shu Wan, Miles Ma, Hank Zhu +4
cs.LGcs.AIcs.CEarXiv:2608.14106v12026
DanceOPD: On-Policy Generative Field Distillation
Wei Zhou, Xiongwei Zhu, Zelin Xu +8
cs.CVcs.CLcs.LGarXiv:2606.27377v22026
MobileMem: Learning from a Year of Mobile Experiences
Xinle Deng, Yida Xue, Xiangyuan Ru +14
cs.AIcs.CLcs.LGarXiv:2608.13606v12026
On-Policy Self-Distillation without Any Supervision
Yijiang Li, Bingyang Wang, Yijun Liang +3
cs.LGarXiv:2608.06296v22026
Distilling the Knowledge in a Neural Network
Geoffrey Hinton, Oriol Vinyals, Jeff Dean
stat.MLcs.LGcs.NEarXiv:1503.02531v12015
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Yifei Shen, Bo Li, Xinjie Zhang
cs.SEcs.AIcs.LGarXiv:2607.03451v12026
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5
stat.MLcs.LGarXiv:1406.2661v12014
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
Wenhan Ma, Jianyu Wei, Liang Zhao +10
cs.CLcs.LGarXiv:2606.30406v12026
Proximal Policy Optimization Algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal +2
cs.LGarXiv:1707.06347v22017
Intern-S2-Preview: Scientific Agentic Foundation Model
Lei Bai, Jiaqi Cao, Chiyu Chen +122
cs.LGcs.CLcs.CVarXiv:2608.13505v12026
AgenticDataBench: A Comprehensive Benchmark for Data Agents
Zhaoyan Sun, Shan Zhong, Daizhou Wen +10
cs.DBcs.AIcs.CLarXiv:2607.01647v12026
The State-Prediction Separation Hypothesis
Giovanni Monea, Nathan Godey, Kianté Brantley +1
cs.CLcs.AIcs.LGarXiv:2607.01218v12026
WARP: Weight-Space Analysis for Recovering Training Data Portfolios
Tzu-Heng Huang, Aditya Goyal, John Cooper +1
cs.LGarXiv:2607.01686v12026

Machine Learning

Post-training Quantization for Hybrid Iterative Generative Models

MINT: A Universal Zero-Shot Predictor for Transaction Data

Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents

Designing Compact Neural Architectures via Neuron Gating and Mixed Activation

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques

On-Policy Delta Distillation

Weak-to-Strong Generalization via Direct On-Policy Distillation

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Attention Is All You Need

Densely Connected Convolutional Networks

Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers

CForce: Boosting Parallel Decoding for dLLMs via Consistency Forcing

Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required

When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version

Think in Latent, Explain in Language: Self-Explainable Latent Reasoning

Nanbeige4.2-3B on Apple Silicon: Fixing Deployment Bugs and Decreasing Looped Transformer Memory Overhead

Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation

Overcoming Shortcut Learning in Graph Neural Networks through Active Explanation Guidance

Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Data

When Does More Correct Data Hurt? Insertion-Stability and the Limits of Dimension-Based Theory

Adversarial Learning of Classifier-Free Guidance Schedules

Training Fair Tabular Foundation Models

BCMT: Blockwise Causal Memory Transformer

Hybrid Quantum-inspired Kolmogorov-Arnold Networks for Privacy-Aware Federated Biosignal Learning

From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent

Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification

Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

AI Evaluation Should Work With Humans

Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

Improved Large Language Diffusion Models

Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

Sequence to Sequence Learning with Neural Networks

Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration

Playing Atari with Deep Reinforcement Learning

Vidu S1: A Real-Time Interactive Video Generation Model

KVAE: Family of Tokenizers for Multimodal Generative Models

RoFormer: Enhanced Transformer with Rotary Position Embedding

Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations

On the global feature importance for interpretable and trustworthy heat demand forecasting

Forecast Collapse in Time-Series Foundation Models

DanceOPD: On-Policy Generative Field Distillation

MobileMem: Learning from a Year of Mobile Experiences

On-Policy Self-Distillation without Any Supervision

Distilling the Knowledge in a Neural Network

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Generative Adversarial Networks

MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training

Proximal Policy Optimization Algorithms

Intern-S2-Preview: Scientific Agentic Foundation Model

AgenticDataBench: A Comprehensive Benchmark for Data Agents

The State-Prediction Separation Hypothesis

WARP: Weight-Space Analysis for Recovering Training Data Portfolios